head-to-head
OpenAI: GPT-5.6 Terra vs MiniMax: MiniMax M3 (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-13.
| OpenAI: GPT-5.6 Terra | MiniMax: MiniMax M3 (batch) | |
|---|---|---|
| Vendor | openai | minimax |
| Quality Score | 100 | 100 |
| Benchmark Score | 92.7 | 77.0 |
| Input Price | $1.00/M | $0.15/M |
| Output Price | $6.00/M | $0.60/M |
| Context Window | 1,050,000 | 524,288 |
| Max Output | 128,000 | - |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 93.3 | 74.9 |
| ai_index_agentic | 82.8 | 59.6 |
| ai_index_coding | 100.0 | 96.6 |
Who wins by task?
| Task | OpenAI: GPT-5.6 Terra | MiniMax: MiniMax M3 (batch) |
|---|---|---|
| SQL Generation | 173 | 167 |
| Code Review | 169 | 162 |
| Code Completion | 120 | 133 |
| Code Refactoring | 165 | 160 |
| Bug Fixing | 183 | 174 |
| Unit Test Generation | 155 | 151 |
| Code Documentation | 143 | 142 |
| Regex Writing | 136 | 134 |
| CI/CD Pipelines | 146 | 141 |
| Frontend Component Design | 148 | 143 |
| Data Analysis | 173 | 164 |
| CSV / Spreadsheet Cleanup | 154 | 153 |
| ETL Scripting | 155 | 151 |
| JSON Extraction | 140 | 148 |
| Bulk Data Labeling | 125 | 135 |
| OCR / Document Parsing | 147 | 145 |
| Table Extraction from PDFs | 147 | 145 |
| Long-Document Summarization | 161 | 157 |
| Short-Form Summarization | 123 | 131 |
| Blog Post Writing | 141 | 138 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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